| Summary: | 碩士 === 國立高雄應用科技大學 === 電子工程系 === 106 === It has been more than 40 years since the development of fuzzy theory, and its application range is very wide. Although there are many studies on the use of temperature, in the field of telecommunications, the optical splice box includes circuits, network equipment, and electric equipment. At present, the fan operation control mode of the optical splice box is mainly based on mechanical temperature control. Divided into two control not only power loss, on the temperature control can not effectively deal with related devices easily cause damage.
In this thesis use Arduino microcontroller, temperature sensor and WI-FI module are used to record the temperature charge of the Optical Splice Boxes via the cloud, and analyze the difference between the temperature inside the box and the ambient temperature.
By controlling the fan speed through fuzzy algorithm according to the change of temperature, the stability of the device is improved, and the full-speed running time of the fan is reduced.
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